AI Answers you can prove.

Ziqqur helps regulated teams ask questions across sensitive records and get answers backed by source evidence. When the evidence is missing, it refuses to guess.

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Private beta · Built for regulated and sensitive data environments

Computed, not improvised

Source-traced answers

96.1% held-out accuracy

4.4× faster retrieval

The trust gap

AI can answer. But can it prove?

In regulated environments, an answer is only useful if it can be traced, verified, and defended. Most AI systems optimize for fluent responses, not evidence-backed certainty.

Confidence is not evidence

AI systems can produce fluent answers that sound right without proving where the answer came from.

Sources get lost

When a claim cannot be traced back to the underlying record, teams cannot verify, audit, or defend it.

Guessing creates risk

When evidence is missing, the safe answer is to stop. In high-stakes workflows, unsupported guesses are failure.

Ziqqur AI

Deterministic AI for regulated data.

Ziqqur AI connects your data, builds a source-backed evidence layer, and returns answers that can be verified instead of merely trusted.

Source systems

Connect data

Bring documents, databases, and operational systems into a controlled evidence layer.

Connected sources

Documents

Databases

Audit logs

Operational systems

Evidence layer

Build evidence

Organize source records, relationships, and provenance before an answer is produced.

Evidence graph

Source record identified

Relationship verified

Provenance attached

Evidence trail created

Verified answer

Answer with proof

Return source-traced answers when the evidence is present, and abstain when it is not.

Answer trace

Claim traced to source

Citation attached

Audit-ready response

Abstain if unsupported

Built differently

Built to be audited. Designed to be controlled.

Ziqqur does not ask teams to trust a fluent answer. Its architecture is designed around two requirements that matter in high-stakes environments: the answer must be verifiable, and the system must fit inside the controls where sensitive data already lives.

Read why Ziqqur exists

Computed, not improvised

The deterministic core retrieves and checks answers directly instead of asking a language model to compose them.

Source-traced answers

Every claim points back to the records that support it.

Evidence-gated abstention

When evidence is missing or insufficient, Ziqqur stops instead of guessing.

2,447 machine-checked proofs

The rules available to the core are verified before the system is allowed to use them.

Controlled deployment

Built for environments where sensitive data needs to stay under local control.

Compute with restraint

Ziqqur uses only the computing the question requires.

Computed, not improvised

The deterministic core retrieves and checks answers directly instead of asking a language model to compose them.

Source-traced answers

Every claim points back to the records that support it.

Evidence-gated abstention

When evidence is missing or insufficient, Ziqqur stops instead of guessing.

2,447 machine-checked proofs

The rules available to the core are verified before the system is allowed to use them.

Controlled deployment

Built for environments where sensitive data needs to stay under local control.

Compute with restraint

Ziqqur uses only the computing the question requires.

Source: internal benchmark testing and formal verification documentation.

Green AI

More proof. Less compute.

As AI's power demand strains electrical grids, Ziqqur's deterministic core runs on commodity CPUs — no GPU farms required.

Explore our approach to Green AI

Use cases

Where proof matters.

Ziqqur is built for teams working with regulated, sensitive, or operationally critical data — places where an answer is only useful if it can be traced back to evidence.

Research, quality, and regulatory teams

Biotech

Trace scientific and operational answers across studies, protocols, lab records, and regulatory documentation.

Data types

ProtocolsAssaysSOPsRegulatory docs

Operators and infrastructure teams

Energy

Verify operational answers across maintenance logs, inspections, permits, asset records, and reports.

Data types

Maintenance logsInspectionsPermitsAsset records

Engineering, operations, and compliance teams

Aerospace

Trace engineering and operational answers across requirements, test records, maintenance logs, certification docs, and supplier documentation.

Data types

RequirementsTest recordsMaintenance logsCertification docs

Risk, compliance, and governance teams

Finance

Ground decisions in policies, controls, disclosures, model documentation, and source evidence.

Data types

PoliciesControlsModel docsDisclosures

Early access

See it work on your data.

We're onboarding a small number of teams in the private beta. Tell us about your use case and we'll be in touch.